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ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011



       A Novel Fuzzy Variable-Band Hysteresis Current
          Controller For Shunt Active Power Filters
                          D. A. Gadanayak,                                            Dr. P. C. Panda, Senior Member IEEE,
                  Electrical Engineering Department,
                                                                                           Electrical Engineering Department,
                  National Institute of Technology,
                                                                                           National Institute of Technology,
                             Rourkela, India
                                                                                                      Rourkela, India
                   e-mail: godofsilicon@gmail.com
                                                                                              e-mail: pcpanda@nitrkl.ac.in

Abstract—This paper presents a novel fuzzy control scheme                    On the other hand, the intelligent control that is based on
applied to shunt active power filters for harmonic and reactive              artificial intelligence can emulate the human thinking process.
power compensation. A TSK type fuzzy logic controller is                     In the knowledge of expert that expressed in rules, fuzzy logic
proposed for APF reference current generation. To control
                                                                             presents a slightly superior dynamic performance when
the maximum switching frequency of the converter within
                                                                             compared with a more conventional scheme [11]. The
limit a novel fuzzy hysteresis band current controller is used.
The band height, based on fuzzy control principle is changed                 advantages of fuzzy logic controllers over conventional
with the value of supply voltage and slope of reference current.             controllers are that they do not require an accurate
                                                                             mathematical model, they can work with imprecise inputs, can
Keywords—active power filter, nonlinear load, TSK type fuzzy                 handle non-linearity and they are more robust than
controller, harmonics, indirect current control scheme                       conventional nonlinear controllers [8]. Among various PWM
                                                                             techniques, hysteresis fixed band current control is popularly
                         I. INTRODUCTION                                     used because of its simplicity of implementation. But this
     Power electronics based non-linear loads such as power                  technique has the disadvantage of uncontrolled frequency which
converters in industrial applications, home appliances such as               results in increased switching losses and excessive ripples in
TV sets, personal computers etc. are increasing in a never before            source current. However, an adaptive hysteresis band current
rapid rate. These loads are known as generators of current                   control technique can be programmed as a function of active
harmonics and tend to distort the supply current. They are also              filter and supply parameters to minimize the influence of current
responsible for low system efficiency, poor power factor,                    distortions on modulated waveform [10].
disturbance to other consumers and interference in nearby
communication networks. The concept of using active power                                     II .PROPOSED CONTROL SCHEME
filters in order to compensate harmonic currents and reactive                    Fig.1 shows the active power filter compensation system
power of locally connected non-linear loads has been so far                  and Fig.2 shows the schematic diagram of fuzzy control scheme.
investigated and shown to be viable solution for power quality               To implement the control algorithm in closed loop, the DC side
improvement [1,2]. APFs, may be classified into pure active filters          capacitor voltage is sensed and compared with a reference value.
and hybrid active filters [4,5]. Hybrid APFs are primarily used for          The error and integration of error are the inputs to the controller.
harmonic mitigation. With fast switching, low power loss power               A TSK type fuzzy controller is used for this purpose as it is
electronic devices and fast digital signal processing devices                shown in [9] that a TSK type fuzzy controller not only reduces
available at an affordable cost, it is feasible to embed a variety of        the total harmonic distortion but also the settling time of DC
functions into a pure APF to make it a power quality conditioner             capacitor is significantly decreased. The output of the controller
[6]. APF eliminates system harmonics by injecting a current to               after a limit is the peak reference source current. This peak value
the system that is equal to the load harmonics. Since the load               is multiplied by unit vectors in phase with the source voltages
harmonics to be compensated may be very complex and                          to obtain the reference source currents. These reference currents
changing rapidly and randomly, APF has to respond quickly                    and actual source currents are given to a hysteresis-based
and work with very high control accuracy in current tracking                 carrierless PWM converter. The difference to the reference current
[3].Two types of current control techniques, namely direct                   template and the actual current decides the operation of
and indirect current control have been discussed in [7]. It                  switches. Unlike conventional fixed band hysteresis controller,
has been found that the indirect current control technique                   an adaptive hysteresis band current control technique is used
which is based on sensing line current only is simpler, requires             where the band height, based on fuzzy control principle is
less hardware and offers better performance. The scheme                      changed with the value of supply voltage and slope of reference
uses a conventional PI controller to obtain reference current                current.
template. However, the design of PI controller requires precise
linear mathematical model of the system which is difficult to
obtain and may not give satisfactory performance under
parameter variations.



                                                                        24
© 2011 ACEEE
DOI: 01.IJCSI.02.02.83
ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011


                                                                       A. DC voltage control
                                                                           A TSK type fuzzy controller has been chosen for closed
                                                                       loop control of DC voltage. The error x1(k)=Vdcref-Vdc and
                                                                       integration of error x2(k)=”e(k) are used as input for fuzzy
                                                                       processing. The TSK type fuzzy controller scheme structure is
                                                                       given in Fig.3. The error and integration of error are partitioned
                                                                       into two trapezoidal fuzzy sets P(positive) and N(negative) as
                                                                       given in Fig.4. The values of L1 and L2 depend upon maximum
                                                                       value of error and its integration.
                                                                           The TSK fuzzy controller uses following four simplified rules.
                                                                          R1) If x1(k) is P and x2(k) is P, then u1(k) =a1.x1(k)+a2.x2(k)
                                                                          R2) If x1(k) is P and x2(k) is N, then u2(k) =K2u1(k)
                                                                          R3) If x1(k) is N and x2(k) is P, then u3(k) =K3u1(k)
                                                                          R4) If x1(k) is N and x2(k) is N, then u4(k) =K4u1(k)
                                                                       In the above rules, u1, u2, u3, u4 represent the consequent of TS
                                                                       fuzzy controller. Using Zadeh’s rules for AND operation and the
                                                                       general defuzzifier, the output of the TS fuzzy controller is
                   Fig.1 Basic control Scheme
                                                                                                                   … (1)




            Fig.2 Block diagram of proposed Scheme

                                                                                        (a)                            (b)
                                                                                 Fig.4 Membership functions for (a) x1 and (b) x2
                                                                       However, for ã=1, we get the centroid defuzzifier with u(k) given
                                                                       by
                                                                               u(k)=a.x1(k)+b.x2(k)                   … (2)
                                                                       where
                                                                                a=a1K and b=a2K                        … (3)
                                                                       and
  Fig3. TSK Fuzzy control scheme with error and its integration
                                                                                                                       … (4)

                                                                       The above TS fuzzy controller is a highly non-linear variable
                                                                       gain controller and the coefficients a1, a2 produce wide variations
                                                                       of controller gain. The values of G1, a1, a2, K2, K3, K4, L1, L2 are
                                                                       given in the Appendix.

                                                                  25
© 2011 ACEEE
DOI: 01.IJCSI.02.02.83
ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011


B. Fuzzy hysteresis band current control                                    in Fig.5. The rule is expressed in the form of IF (antecedent)
    The most commonly used current control strategy is the                  THEN (consequence) form. Control rule table is given in Table.1.
fixed band hysteresis method. But it has the disadvantage of                The centre-of-mass method is used for defuzzification.
uncontrollable high switching frequency. This high switching
frequency produces a great stress for the power transistors and                                  III. SIMULATION RESULTS
induces important switching losses. To improve this control, an                 The system parameters selected for simulation studies are
adaptive hysteresis band current control technique can be                   Vm=100V, Rs=0.1&!, Ls=0.15mH, Rf=0.1&!, Lf=0.66mH, Vdcref=220V.
programmed as a function of the active filter and supply                    A three phase diode rectifier with R-L load is considered as a
parameters to minimize the influence of current distortions on              non-linear load. Initially load parameters are taken as Ll=20mH
modulated waveform [10]. The hysteresis band is given by                    and Rl=6.7&!. The switch on response of the system is given in
                                                                            Fig.6.
                                                        … (5)

j= 1, 2, 3; fm is the modulating frequency, is* is the reference
source current and dis* /dt represents its slope.




                                                                              (Fig.6 Performance of the system for load of 6.7ohm &20mH)




  Fig.5 Membership functions for input variables di s*/dt, vs(t) and
                      output variable HB

                    TABLE.1 CONTROL   RULE   TABLE




To improve active filter performance equation (5) is implemented
in our case with fuzzy logic. The supply voltage vs(t) and slope
of reference source current dis*/dt are taken as inputs for fuzzy
processing and output is HB. To construct a rule base, the inputs
                                                                                                 Fig.6(e) Source current
are partitioned into five primary fuzzy sets labeled as {NL, NM,
                                                                                Fig.6 Performance of the system for load of 6.7ohm &20mH
EZ, PM, PL}. Similarly the output variable HB is divided into five
fuzzy sets labeled as {PVS, PS, PM, PL, PVL}. A triangular
membership function has the advantages of simplicity and easy
to implement, hence therefore chosen for this application. The
normalized membership functions used for fuzzification are given
                                                                       26
© 2011 ACEEE
DOI: 01.IJCSI.02.02.83
ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011




       Fig.7 (a) Harmonics distribution spectrum of Load current              Fig.8 (d) Harmonic distribution spectrum of source current at t=0.5s
                                                                                            Fig.8 Dynamic Response of the system
                                                                                 System performance is analysed under dynamic conditions
                                                                             also. At initial stage the load on rectifier is Rl=6.7ohm and
                                                                             Ll=20mH. At time t=0.4s the resistance is increased from 6.7ohm
                                                                             to 10 ohm. Again at time t=0.7s it is decreased to 6.7ohm. The
                                                                             system responses are shown in Fig.8. It can been seen that the
                                                                             settling time of DC capacitor is about one and half cycles. Also
                                                                             the THD is only 1.50%.

Fig.7 (b) Harmonics distribution spectrum of Source current at t=0.3s                                  IV. CONCLUSION
    The total harmonic distortion (THD) of load current is
28.26%. After compensation THD of source current is reduced
                                                                                  From the simulation responses, it is evident that the reference
to 1.59%. Waveforms in Fig.6 clearly indicate that the harmonic
                                                                             current generator and the adaptive hysteresis band current
component of load current is supplied by APF and the source
                                                                             controller are performing satisfactorily. In all the cases studied
current is in phase with supply voltage. Also it has been observed
                                                                             the total harmonic distortion is well below 5%, the harmonic limit
that the settling time of DC link capacitor voltage is about 1
                                                                             imposed by IEEE-519 standard. Also the dynamic performance
cycle only.
                                                                             of the system is impressive as the settling time of dc-link capacitor
                                                                             voltage is within two cycles. This is quite important in the context
                                                                             that at this condition, the real power balance between the source
                                                                             and the load is realized.

                                                                                                         V. APPENDIX
                                                                                Parameters used in TSK fuzzy control scheme are G1=1/
                         Fig.8 (a) Load Current
                                                                             4000; a1=1.1; a2=0.35; K2=-0.5; K3=1.8; K4=-0.08; L1=30; L2=10




                  Fig.8 (b) DC link Capacitor voltage




                      Fig.8 (c) Source current




                                                                        27
© 2011 ACEEE
DOI: 01.IJCSI.02.02.83
ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011


                          REFERENCES                                       [6] Jog, A.N.; Apte, N.G.; , “An Adaptive Hysteresis Band Current
                                                                                Controlled Shunt Active Power Filter,” Compatibility in Power
                                                                                Electronics, 2007. CPE ‘07 , vol., no., pp.1-5, May 29 2007-
[1] Akagi, H.; , “Trends in active power line conditioners,” Power
                                                                                June 1 2007
    Electronics, IEEE Transactions on , vol.9, no.3, pp.263-268,
                                                                           [7] Singh, B.N.; Chandra, A.; Al-Haddad, K.; , “Performance
    May 1994
                                                                                comparison of two current control techniques applied to an
[2] Singh, B.; Al-Haddad, K.; Chandra, A.; , “A review of active
                                                                                active filter,” Harmonics And Quality of Power, 1998.
    filters for power quality improvement,” Industrial Electronics,
                                                                                Proceedings. 8th International Conference on , vol.1, no.,
    IEEE Transactions on , vol.46, no.5, pp.960-971, Oct 1999
                                                                                pp.133-138 vol.1, 14-18 Oct 1998
[3] Zeng, J.; Ni, Y.; Diao, Q.; Yuan, B.; Chen, S.; Zhang, B.; ,
                                                                           [8] Jain, S.K.; Agrawal, P.; Gupta, H.O.; , “Fuzzy logic controlled
    “Current controller for active power filter based on optimal
                                                                                shunt active power filter for power quality improvement,”
    voltage space vector,” Generation, Transmission and
                                                                                Electric Power Applications, IEE Proceedings - , vol.149, no.5,
    Distribution, IEE Proceedings- , vol.148, no.2, pp.111-116,
                                                                                pp. 317- 328, Sep 2002
    Mar 2001
                                                                           [9] C.N. Bhende; S. Mishra; S.K. Jain; , “TS-fuzzy-controlled
[4] Akagi, H.; , “Active Harmonic Filters,” Proceedings of the
                                                                                active power filter for load compensation,” Power Delivery,
    IEEE , vol.93, no.12, pp.2128-2141, Dec. 2005
                                                                                IEEE Transactions on , vol.21, no.3, pp.1459-1465, July 2006
[5] Akagi, H.; , “New trends in active filters for power
                                                                           [10] Mekri, F.; Mazari, B.; Machmoum, M.; , “Control and
    conditioning,” Industry Applications, IEEE Transactions on ,
                                                                                optimization of shunt active power filter parameters by fuzzy
    vol.32, no.6, pp.1312-1322, Nov/Dec 1996
                                                                                logic,” Electrical and Computer Engineering, Canadian
                                                                                Journal of , vol.31, no.3, pp.127-134, Summer 2006
                                                                           [11] Arrofiq, M.; Saad, N.; , “PLC-based fuzzy logic controller for
                                                                                induction-motor drive with constant V/Hz ratio,” Intelligent
                                                                                and Advanced Systems, 2007. ICIAS 2007. International
                                                                                Conference on , vol., no., pp.93-98, 25-28 Nov. 2007




                                                                      28
© 2011 ACEEE
DOI: 01.IJCSI.02.02. 83

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A Novel Fuzzy Variable-Band Hysteresis Current Controller For Shunt Active Power Filters

  • 1. ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011 A Novel Fuzzy Variable-Band Hysteresis Current Controller For Shunt Active Power Filters D. A. Gadanayak, Dr. P. C. Panda, Senior Member IEEE, Electrical Engineering Department, Electrical Engineering Department, National Institute of Technology, National Institute of Technology, Rourkela, India Rourkela, India e-mail: godofsilicon@gmail.com e-mail: pcpanda@nitrkl.ac.in Abstract—This paper presents a novel fuzzy control scheme On the other hand, the intelligent control that is based on applied to shunt active power filters for harmonic and reactive artificial intelligence can emulate the human thinking process. power compensation. A TSK type fuzzy logic controller is In the knowledge of expert that expressed in rules, fuzzy logic proposed for APF reference current generation. To control presents a slightly superior dynamic performance when the maximum switching frequency of the converter within compared with a more conventional scheme [11]. The limit a novel fuzzy hysteresis band current controller is used. The band height, based on fuzzy control principle is changed advantages of fuzzy logic controllers over conventional with the value of supply voltage and slope of reference current. controllers are that they do not require an accurate mathematical model, they can work with imprecise inputs, can Keywords—active power filter, nonlinear load, TSK type fuzzy handle non-linearity and they are more robust than controller, harmonics, indirect current control scheme conventional nonlinear controllers [8]. Among various PWM techniques, hysteresis fixed band current control is popularly I. INTRODUCTION used because of its simplicity of implementation. But this Power electronics based non-linear loads such as power technique has the disadvantage of uncontrolled frequency which converters in industrial applications, home appliances such as results in increased switching losses and excessive ripples in TV sets, personal computers etc. are increasing in a never before source current. However, an adaptive hysteresis band current rapid rate. These loads are known as generators of current control technique can be programmed as a function of active harmonics and tend to distort the supply current. They are also filter and supply parameters to minimize the influence of current responsible for low system efficiency, poor power factor, distortions on modulated waveform [10]. disturbance to other consumers and interference in nearby communication networks. The concept of using active power II .PROPOSED CONTROL SCHEME filters in order to compensate harmonic currents and reactive Fig.1 shows the active power filter compensation system power of locally connected non-linear loads has been so far and Fig.2 shows the schematic diagram of fuzzy control scheme. investigated and shown to be viable solution for power quality To implement the control algorithm in closed loop, the DC side improvement [1,2]. APFs, may be classified into pure active filters capacitor voltage is sensed and compared with a reference value. and hybrid active filters [4,5]. Hybrid APFs are primarily used for The error and integration of error are the inputs to the controller. harmonic mitigation. With fast switching, low power loss power A TSK type fuzzy controller is used for this purpose as it is electronic devices and fast digital signal processing devices shown in [9] that a TSK type fuzzy controller not only reduces available at an affordable cost, it is feasible to embed a variety of the total harmonic distortion but also the settling time of DC functions into a pure APF to make it a power quality conditioner capacitor is significantly decreased. The output of the controller [6]. APF eliminates system harmonics by injecting a current to after a limit is the peak reference source current. This peak value the system that is equal to the load harmonics. Since the load is multiplied by unit vectors in phase with the source voltages harmonics to be compensated may be very complex and to obtain the reference source currents. These reference currents changing rapidly and randomly, APF has to respond quickly and actual source currents are given to a hysteresis-based and work with very high control accuracy in current tracking carrierless PWM converter. The difference to the reference current [3].Two types of current control techniques, namely direct template and the actual current decides the operation of and indirect current control have been discussed in [7]. It switches. Unlike conventional fixed band hysteresis controller, has been found that the indirect current control technique an adaptive hysteresis band current control technique is used which is based on sensing line current only is simpler, requires where the band height, based on fuzzy control principle is less hardware and offers better performance. The scheme changed with the value of supply voltage and slope of reference uses a conventional PI controller to obtain reference current current. template. However, the design of PI controller requires precise linear mathematical model of the system which is difficult to obtain and may not give satisfactory performance under parameter variations. 24 © 2011 ACEEE DOI: 01.IJCSI.02.02.83
  • 2. ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011 A. DC voltage control A TSK type fuzzy controller has been chosen for closed loop control of DC voltage. The error x1(k)=Vdcref-Vdc and integration of error x2(k)=”e(k) are used as input for fuzzy processing. The TSK type fuzzy controller scheme structure is given in Fig.3. The error and integration of error are partitioned into two trapezoidal fuzzy sets P(positive) and N(negative) as given in Fig.4. The values of L1 and L2 depend upon maximum value of error and its integration. The TSK fuzzy controller uses following four simplified rules. R1) If x1(k) is P and x2(k) is P, then u1(k) =a1.x1(k)+a2.x2(k) R2) If x1(k) is P and x2(k) is N, then u2(k) =K2u1(k) R3) If x1(k) is N and x2(k) is P, then u3(k) =K3u1(k) R4) If x1(k) is N and x2(k) is N, then u4(k) =K4u1(k) In the above rules, u1, u2, u3, u4 represent the consequent of TS fuzzy controller. Using Zadeh’s rules for AND operation and the general defuzzifier, the output of the TS fuzzy controller is Fig.1 Basic control Scheme … (1) Fig.2 Block diagram of proposed Scheme (a) (b) Fig.4 Membership functions for (a) x1 and (b) x2 However, for ã=1, we get the centroid defuzzifier with u(k) given by u(k)=a.x1(k)+b.x2(k) … (2) where a=a1K and b=a2K … (3) and Fig3. TSK Fuzzy control scheme with error and its integration … (4) The above TS fuzzy controller is a highly non-linear variable gain controller and the coefficients a1, a2 produce wide variations of controller gain. The values of G1, a1, a2, K2, K3, K4, L1, L2 are given in the Appendix. 25 © 2011 ACEEE DOI: 01.IJCSI.02.02.83
  • 3. ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011 B. Fuzzy hysteresis band current control in Fig.5. The rule is expressed in the form of IF (antecedent) The most commonly used current control strategy is the THEN (consequence) form. Control rule table is given in Table.1. fixed band hysteresis method. But it has the disadvantage of The centre-of-mass method is used for defuzzification. uncontrollable high switching frequency. This high switching frequency produces a great stress for the power transistors and III. SIMULATION RESULTS induces important switching losses. To improve this control, an The system parameters selected for simulation studies are adaptive hysteresis band current control technique can be Vm=100V, Rs=0.1&!, Ls=0.15mH, Rf=0.1&!, Lf=0.66mH, Vdcref=220V. programmed as a function of the active filter and supply A three phase diode rectifier with R-L load is considered as a parameters to minimize the influence of current distortions on non-linear load. Initially load parameters are taken as Ll=20mH modulated waveform [10]. The hysteresis band is given by and Rl=6.7&!. The switch on response of the system is given in Fig.6. … (5) j= 1, 2, 3; fm is the modulating frequency, is* is the reference source current and dis* /dt represents its slope. (Fig.6 Performance of the system for load of 6.7ohm &20mH) Fig.5 Membership functions for input variables di s*/dt, vs(t) and output variable HB TABLE.1 CONTROL RULE TABLE To improve active filter performance equation (5) is implemented in our case with fuzzy logic. The supply voltage vs(t) and slope of reference source current dis*/dt are taken as inputs for fuzzy processing and output is HB. To construct a rule base, the inputs Fig.6(e) Source current are partitioned into five primary fuzzy sets labeled as {NL, NM, Fig.6 Performance of the system for load of 6.7ohm &20mH EZ, PM, PL}. Similarly the output variable HB is divided into five fuzzy sets labeled as {PVS, PS, PM, PL, PVL}. A triangular membership function has the advantages of simplicity and easy to implement, hence therefore chosen for this application. The normalized membership functions used for fuzzification are given 26 © 2011 ACEEE DOI: 01.IJCSI.02.02.83
  • 4. ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011 Fig.7 (a) Harmonics distribution spectrum of Load current Fig.8 (d) Harmonic distribution spectrum of source current at t=0.5s Fig.8 Dynamic Response of the system System performance is analysed under dynamic conditions also. At initial stage the load on rectifier is Rl=6.7ohm and Ll=20mH. At time t=0.4s the resistance is increased from 6.7ohm to 10 ohm. Again at time t=0.7s it is decreased to 6.7ohm. The system responses are shown in Fig.8. It can been seen that the settling time of DC capacitor is about one and half cycles. Also the THD is only 1.50%. Fig.7 (b) Harmonics distribution spectrum of Source current at t=0.3s IV. CONCLUSION The total harmonic distortion (THD) of load current is 28.26%. After compensation THD of source current is reduced From the simulation responses, it is evident that the reference to 1.59%. Waveforms in Fig.6 clearly indicate that the harmonic current generator and the adaptive hysteresis band current component of load current is supplied by APF and the source controller are performing satisfactorily. In all the cases studied current is in phase with supply voltage. Also it has been observed the total harmonic distortion is well below 5%, the harmonic limit that the settling time of DC link capacitor voltage is about 1 imposed by IEEE-519 standard. Also the dynamic performance cycle only. of the system is impressive as the settling time of dc-link capacitor voltage is within two cycles. This is quite important in the context that at this condition, the real power balance between the source and the load is realized. V. APPENDIX Parameters used in TSK fuzzy control scheme are G1=1/ Fig.8 (a) Load Current 4000; a1=1.1; a2=0.35; K2=-0.5; K3=1.8; K4=-0.08; L1=30; L2=10 Fig.8 (b) DC link Capacitor voltage Fig.8 (c) Source current 27 © 2011 ACEEE DOI: 01.IJCSI.02.02.83
  • 5. ACEEE Int. J. on Control System and Instrumentation, Vol. 02, No. 02, June 2011 REFERENCES [6] Jog, A.N.; Apte, N.G.; , “An Adaptive Hysteresis Band Current Controlled Shunt Active Power Filter,” Compatibility in Power Electronics, 2007. CPE ‘07 , vol., no., pp.1-5, May 29 2007- [1] Akagi, H.; , “Trends in active power line conditioners,” Power June 1 2007 Electronics, IEEE Transactions on , vol.9, no.3, pp.263-268, [7] Singh, B.N.; Chandra, A.; Al-Haddad, K.; , “Performance May 1994 comparison of two current control techniques applied to an [2] Singh, B.; Al-Haddad, K.; Chandra, A.; , “A review of active active filter,” Harmonics And Quality of Power, 1998. filters for power quality improvement,” Industrial Electronics, Proceedings. 8th International Conference on , vol.1, no., IEEE Transactions on , vol.46, no.5, pp.960-971, Oct 1999 pp.133-138 vol.1, 14-18 Oct 1998 [3] Zeng, J.; Ni, Y.; Diao, Q.; Yuan, B.; Chen, S.; Zhang, B.; , [8] Jain, S.K.; Agrawal, P.; Gupta, H.O.; , “Fuzzy logic controlled “Current controller for active power filter based on optimal shunt active power filter for power quality improvement,” voltage space vector,” Generation, Transmission and Electric Power Applications, IEE Proceedings - , vol.149, no.5, Distribution, IEE Proceedings- , vol.148, no.2, pp.111-116, pp. 317- 328, Sep 2002 Mar 2001 [9] C.N. Bhende; S. Mishra; S.K. Jain; , “TS-fuzzy-controlled [4] Akagi, H.; , “Active Harmonic Filters,” Proceedings of the active power filter for load compensation,” Power Delivery, IEEE , vol.93, no.12, pp.2128-2141, Dec. 2005 IEEE Transactions on , vol.21, no.3, pp.1459-1465, July 2006 [5] Akagi, H.; , “New trends in active filters for power [10] Mekri, F.; Mazari, B.; Machmoum, M.; , “Control and conditioning,” Industry Applications, IEEE Transactions on , optimization of shunt active power filter parameters by fuzzy vol.32, no.6, pp.1312-1322, Nov/Dec 1996 logic,” Electrical and Computer Engineering, Canadian Journal of , vol.31, no.3, pp.127-134, Summer 2006 [11] Arrofiq, M.; Saad, N.; , “PLC-based fuzzy logic controller for induction-motor drive with constant V/Hz ratio,” Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on , vol., no., pp.93-98, 25-28 Nov. 2007 28 © 2011 ACEEE DOI: 01.IJCSI.02.02. 83